Name
Title | ||
|---|---|---|
Prediction of THz Absorption and Inverse Design of Graphene-Based Metasurface Structure Using Deep Learning |
Abstract | ||
|---|---|---|
This paper presents a new method based on the neural network for predicting the absorption of the THz Graphene-based metasurface structure and inversely designing the structure based on desired absorption spectrum. the absorption spectra have been computed for different values of structure’s parameters. A neural network is trained to predict the absorption of the structure for any random value of ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WOCC53213.2021.9602997 | 2021 30th Wireless and Optical Communications Conference (WOCC) |
Keywords | DocType | ISBN |
Deep learning,Wireless communication,Absorption,Neural networks,Graphene,Metasurfaces,Prediction algorithms | Conference | 978-1-6654-2772-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erfan Dejband | 1 | 0 | 0.34 |
| Jyun-Wei Li | 2 | 0 | 0.68 |
| Peng-Chun Peng | 3 | 4 | 6.01 |
| Tan-Hsu Tan | 4 | 21 | 10.28 |